A total of 145,347 samples (4,322 cases) were received for the passive surveillance of melioidosis in the Serology Laboratory of Veterinary Research Institute (VRI) from the year 2012 to 2016. From the samples received, 0.63% were positive and 99.37% were negative. The objective of this study is to determine the seropositive rate and distribution of melioidosis in livestockbased on cases received which comprise of sheep (37.24%, n=54,130), goat (54.01%, n=78,500), cattle (8.12%, n=11,804) andbuffalo (0.63%, n=913) within the period of 5 years. A geographical mapping of seropositive cases was designed using thedata from the passive surveillance and the results were visualized in a geographical mapping which provides a clear visual description on the distribution of the diseases. By 2016, positive cases were found to be concentrated in the states on the east coast of Peninsular Malaysia and Sabah. To sum up, the percentage of seropositive cases of melioidosis in 5 years has increased from 1.79% in 2012 to 12.17% in 2015 and decreased to 1.04% in 2016. From the findings, this study can provide the dataneeded as the indicator for the evaluation of surveillance and vaccination programmes, disease eradication planning and to monitor the distribution of seropositive cases of melioidosis in Malaysia.

To investigate the transmission pattern of geographical area and temporal trends of the 2010~2011 footand- mouth disease (FMD) outbreaks in Korea, and to explore temporal intervals at which spatial clustering of FMD cases space-time analysis based on georeferenced database of 3,575 burial sites, from 30 November 2010 to 23 February 2011, was performed. The cases represent approximately 98.1% of all infected farms (n = 3,644) during the same period. Descriptive maps of spatial patterns of the outbreaks were generated by ArcGIS. Spatial Scan Statistics, using SaTScan software, was applied to investigate geographical clusters of FMD cases across the country. Overall, spatial heterogeneity was identified, and the transmission pattern was different by province. Cattle have more clusters in number but smaller in size, as compared to the swine population. In addition, spatiotemporal analysis and the comparison of clustering patterns between the first 7 days and days 8 to 14 of the outbreak revealed that the strongest spatial clustering was identified at the 7-day interval, although clustering over longer intervals (8~14 days) was also observed. We further discussed the importance of time period elapsed between FMD-suspected notice and the date of confirmation, and emphasized the necessity of region-specific and species-specific control measures.